Sr. Manager, Ads & Marketing Data Science - INTL India

We are searching for a Senior Manager of Data Science to lead and grow the India-based Marketing Analytics & Data Science team. This is a people leadership role grounded in deep technical expertise in marketing measurement, MMM, and traditional marketing analytics. You will be responsible for building a high-performing team, owning the measurement strategy for core marketing programs, and serving as the primary data science partner to senior marketing and business stakeholders. This role operates at the intersection of marketing science, causal inference, and scalable analytics infrastructure. You will shape how the team approaches marketing effectiveness measurement while building the processes, culture, and capabilities needed to make the India team a foundational part of the global Marketing Data Science organization. This is an opportunity to build and lead a world-class data science team in India while working on analytically challenging, globally significant marketing science problems. You’ll partner across geographies, influence how our company invests its marketing dollars, and develop data scientists who go on to have meaningful careers at a globally recognized technology company. You are a technically strong and commercially minded data science leader with deep expertise in marketing measurement and analytics. You understand how MMM, attribution, and causal inference connect to real marketing investment decisions, and you have the leadership presence to influence how those decisions get made. You combine statistical rigor with the ability to develop people, manage complex cross-functional relationships, and drive delivery in a distributed team environment. You are comfortable operating as both a strategic thought partner to senior stakeholders and a hands-on technical reviewer for your team’s most challenging work. You bring experience from organizations where marketing analytics is taken seriously-whether that’s a global technology company, an Indian consumer tech company, a data-driven marketing organization, or a specialist analytics firm. You understand the discipline of marketing science and the craft of building teams that do it well.

10+ years of experience in data science, marketing analytics, or applied measurement, with 4+ years directly managing and developing data scientists. Deep expertise in Marketing Mix Modeling (MMM): methodology, tooling, business integration, and stakeholder communication. Strong working knowledge of marketing attribution, incrementality testing, and causal inference methods (geo-testing, diff-in-diff, synthetic controls, uplift modeling). Experience with performance forecasting and budget optimization in a marketing context. Demonstrated ability to lead a team of data scientists-setting direction, developing careers, and maintaining a high bar for quality and impact. Proven ability to manage and influence senior stakeholders across functions and geographies. Strong executive communication skills: comfortable presenting complex methodology and business implications to senior marketing and business leaders. Deep proficiency in SQL and Python or R; experience operating in production analytics environments. Comfort operating in a globally distributed team environment with US-based counterparts.

Nice to Have Skills & Experience

Experience at a high-growth Indian consumer tech company Exposure to offline marketing analytics, brand measurement, or upper-funnel attribution. Experience scaling and modernizing legacy marketing measurement infrastructure. Familiarity with dbt, Databricks, Snowflake, Airflow, or comparable data infrastructure. Experience building or managing analytics teams across multiple geographies.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.